Abstract: A method for compensating for the deflection of a milling cutter during the machining of a workpiece by a numerically controlled machine tool having a plurality of axes includes: executing a learning cut on a test workpiece having a known geometry by the milling cutter mounted on a tool spindle in a climb milling mode, and in doing so, ascertaining a correlation between a quantity that is proportional to the torque of the drive of the tool spindle and the deflection of the milling cutter normal to a surface of the test workpiece, the deflection being determined by comparing the actual contour of the test workpiece to a setpoint contour. This is followed by storing of the correlation for the milling cutter and machining of the workpiece by the milling cutter in a climb milling mode, while utilizing the stored correlation for compensating for the deflection of the milling cutter by applying a positional correction that is proportional to the quantity to a setpoint position of the axes of the machine tool.

Abstract: A system and method is provided that facilitates computing surfaces for layers of a multi-layer part. The system may include at least one processor configured to determine a plurality of surfaces for layers of at least one material that form a multi-layer part by repeatedly carrying out a level set method computation. The level set method computation may be carried out relative to an interface surface that propagates outwardly with each determined surface for each layer with respect to an initial surface, based on data that defines at least one thickness of the material in each layer and at least one drop-off rate of the material at a boundary of the material in each layer.

Abstract: A method, apparatus, system and computer program is provided for controlling an electric power system, including implementation of a voltage control and conservation (VCC) system used to optimally control the independent voltage and capacitor banks using a linear optimization methodology to minimize the losses in the EEDCS and the EUS. An energy validation process system (EVP) is provided which is used to document the savings of the VCC and an EPP is used to optimize improvements to the EEDCS for continuously improving the energy losses in the EEDS. The EVP system measures the improvement in the EEDS a result of operating the VCC system in the “ON” state determining the level of energy conservation achieved by the VCC system.

Abstract: A compensation quantity acquisition device acquires vibration of the movement target in a second axis direction, orthogonal to the first axis direction when the movement target is moved in the first axis direction, acquires a positional frequency characteristic by performing Fourier transformation on the acquired vibration in the second axis direction, performs inverse Fourier transformation on the positional frequency characteristic from which the component of position independent frequency in the second axis direction (that occurs independently of a position of the movement target in the first axis direction) has been removed, to recover the vibration of the movement target in the second axial direction as position dependent vibration, and acquires positional compensation quantity of the movement target in the second axis direction that cancels the position dependent vibration.

Abstract: Controlling a power converters during over voltage condition. A wind turbine signal is monitored for detection of an over voltage of the grid and upon detection of the over voltage, an over-modulation mode is initiated wherein the grid side converter is operated with a modulation index being increased in an over-modulation range at least during a sub-period of the over-modulation mode, and upon the detection of the operational condition, a DC-voltage adjustment mode is initiated wherein the DC voltage of the DC link is decreased from a second voltage level towards a first voltage level at least during a sub-period of the DC-voltage adjustment mode.

Abstract: Systems and methods for managing power supplied over an electric power grid by an electric utility and/or other market participants to a multiplicity of grid elements and devices for supply and/or load curtailment as supply, each of which having a supply equivalence value associated with its energy consumption and/or reduction in consumption and/or supply, and wherein messaging is managed through a network by a coordinator using IP messaging for communication with the grid elements and devices, with the energy management system (EMS), and with the utilities, market participants, and/or grid operators.

Abstract: Surgical systems can include evacuation systems for evacuating smoke, fluid, and/or particulates from a surgical site. A surgical evacuation system can be intelligent and may include one or more sensors for detecting one or more properties of the surgical system, evacuation system, surgical procedure, surgical site, and/or patient tissue, for example. Communication among devices in the surgical system may include a surgical evacuation system acquiring a value of a parameter and transmitting the value of the parameter to a cloud computing network or a surgical hub. The cloud computing network or surgical hub may process the value of the parameter, determine an impact of the value of the parameter on the surgical evacuation system or a modular device, and send an instruction to adjust operation to the surgical evacuation system or the modular device. The surgical evacuation system or the modular device will adjust operation based on the instruction.

Abstract: To provide a numerical controller, a numerical control method and a numerical control program enabling to improve laser cutting speed. A numerical controller for dividing a laser cutting range into a plurality of sections and performing cutting in the respective sections with individual laser outputs includes a nonvolatile memory for storing division conditions and laser output conditions for the plurality of respective sections in association with a cutting condition identifier, and a CPU for specifying the cutting condition identifier as a command value along with an axial movement command in a cutting program, thereby sequentially applying the stored laser output conditions to the plurality of respective sections.

Abstract: An operation management device includes: a machining program information acquisition unit acquiring information related to machining program executed in the machine tool; a signaling information acquisition unit acquiring signaling information related to signals detected during execution of the machining programs in the machine tool; and an associated-information creation unit associating the information related to the machining program with the signaling information; and a search/display unit displaying the information related to the machining program and the signaling information, which are associated by the associated-information creation unit.

Abstract: Systems and methods for facilitating water conservation and smart water control are provided. Water conservation and smart water control can be achieved using a smart water apparatus having the ability to approximate distance, mass, and/or specific characteristics of an object such as a human or inanimate object and adjust flow rate of water and/or temperature of the water based on the approximated distance, mass, and/or specific characteristics of an object. The smart water apparatus can be embodied, for example, in a network connected shower head or a network connected faucet.

Abstract: According to an aspect, an apparatus is provided. The apparatus includes a cutter, a spooling mechanism and a computing system. The computing system is configured to drive the cutter to form a channel in the ply based on the stored instrumentation layout. The computing system is additionally configured to drive the spooling mechanism to insert the instrumentation into the formed channel based on the stored instrumentation layout.

Abstract: A control system constructed so that a machine tool and a high-order server configured to manage the machine tool are connected through a communication line determines the arrangement of a control process in the respective execution environments of the machine tool and the high-order server, based on an execution condition for the execution of the control process available in machining performed in the machine tool and machining information on the machining in the machine tool.

Abstract: A method for energy management is described. In one embodiment, an aspect of a dwelling is monitored. The monitored aspect of the dwelling is compared to an energy policy to determine a deviation of the monitored aspect of the dwelling from a setting of the energy policy. A notification is sent to an occupant, the notification comprising the deviation of the monitored aspect of the dwelling from the setting of the energy policy.

Abstract: Methods and apparatus to produce fluid control device components are related fluid control devices. An example method of producing a valve component, includes: accessing a first request from a user interface device to produce a valve component, the first request specifying first characteristics of the valve component; when the first characteristics are not associated with a first build file, comparing the first characteristics to first reference characteristics to determine if the first characteristics satisfy a threshold; if the first characteristics do not satisfy the threshold, providing feedback accessible at the user interface device to change the first characteristics to second characteristics, where the second characteristics satisfy the threshold; and when the first characteristics are associated with the first build file or when the first or second characteristics satisfy the threshold, causing, using the one or more processors, an additive manufacturing machine to produce the valve component.

Abstract: According to an embodiment of the disclosure, a retrofit for a system using a fluid to transfer thermal energy in a system that utilizes a thermostat to regulate a temperature associated with a terminal is provided. The retrofit includes a return line temperature sensor configured to measure a temperature of a fluid leaving a terminal; and a circuit. The circuit is configured to: receive a signal from a thermostat, the signal commanding a modulated valve to open or close; receive a temperature from the return line temperature sensor; determine whether the temperature is either greater than a maximum set point or less than a minimum set point; and modify the signal from the thermostat if the temperature is either greater than the set point or less than set point.

Abstract: The disclosed embodiments of haptic locomotion use one or more actuators to: 1) determine the properties of contact surfaces to improve various applications that use haptic locomotion; 2) automatically improve power transfer efficiency during wireless charging or cellular or wireless signal reception; 3) increase device accessibility for visually or hearing impaired users; 4) improve speaker and microphone performance; 5) protect a free falling mobile device from impact damage by orienting the mobile device to a low-risk orientation during free fall, or by driving the mobile device away from a high-risk orientation during free fall; and 6) control asymmetric surface friction using a directional magnetic field provided by an actuator to improve haptic locomotion in a desired direction of travel.

Abstract: In an embodiment, the techniques herein include receiving a request for a suggested distribution rate of a particular field-distributed commodity in a particular geographical area. Based on that request, two or more rate models for distribution of the particular field-distributed commodity are computed, where one rate model is a user-tolerance model. The suggested distribution rate of the particular field-distributed commodity is determined by performing Bayesian updating where the user-tolerance model is treated as a prior distribution and distributions for each of the other rate models of the two or more rate models for distribution of the particular field-distributed commodity in the particular geographical area are treated as input data in the Bayesian updating. The determined suggested distribution rate of the particular field-distributed commodity is then sent in response to the received request.

Abstract: Systems and methods for implementing an economic model predictive control (EMPC) strategy in any resource-based system include an EMPC tool. The EMPC tool is configured to present user interfaces to a client device. The EMPC tool is further configured to receive first user input including resources and subplants associated with a central plant. The EMPC tool is also configured to receive second user input including sinks and connections between central plant equipment. The EMPC tool also includes a data model extender configured to extend a data model to define new entities and/or relationships specified by user input. The EMPC tool also includes a high level EMPC algorithm configured to generate an optimization problem and an asset allocator configured to solve the resource optimization problem in order to determine optimal control decisions used to operate the central plant.

Abstract: The present document relates to a system for providing energy services in an energy grid using a cloud environment. The system comprises at least one control entity adapted to receive information from at least one of a plurality of energy grid elements and to operate the energy grid elements based on operational policies. One or more control interfaces are coupled with the energy grid elements. The control interfaces are adapted to transmit information provided by an energy grid element to a control entity and/or the control interfaces are adapted to receive information from the control entity to operate the energy grid element based on the information. The at least one control entity comprises a plurality of software modules which are hosted in the cloud environment, and the operational policies are stored in storage entities of the cloud environment to operate the energy grid elements according to the operational policies.

Abstract: Soft sensing of nonlinear and multimode industrial processes given a limited number of labeled data samples is disclosed. Methods include a semi-supervised probabilistic density-based regression approach, called Semi-supervised Weighted Gaussian Regression (SWGR). In SWGR, different weights are assigned to each training sample based on their similarities to a query sample. Then a local weighted Gaussian density is built for capturing the joint probability of historical samples around the query sample. The training process of parameters in SWGR incorporates both labeled and unlabeled data samples via a maximum likelihood estimation algorithm. In this way, the soft sensor model is able to approximate the nonlinear mechanics of input and output variables and remedy the insufficiency of labeled samples. At last, the output prediction as well as the uncertainty of prediction can be obtained by the conditional distribution.